Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	100000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.3 MiB
Average record size in memory	192.0 B

Variable types

Categorical	13
Text	1
Numeric	9
DateTime	1

Alerts

`article.1` is highly overall correlated with `category` and 11 other fields	High correlation
`category` is highly overall correlated with `article.1` and 11 other fields	High correlation
`cost` is highly overall correlated with `article.1` and 9 other fields	High correlation
`country` is highly overall correlated with `customer_id`	High correlation
`current_price` is highly overall correlated with `regular_price`	High correlation
`customer_id` is highly overall correlated with `country`	High correlation
`gender` is highly overall correlated with `article.1` and 8 other fields	High correlation
`productgroup` is highly overall correlated with `article.1` and 8 other fields	High correlation
`regular_price` is highly overall correlated with `current_price`	High correlation
`rgb_b_main_col` is highly overall correlated with `article.1` and 9 other fields	High correlation
`rgb_b_sec_col` is highly overall correlated with `article.1` and 9 other fields	High correlation
`rgb_g_main_col` is highly overall correlated with `article.1` and 9 other fields	High correlation
`rgb_g_sec_col` is highly overall correlated with `article.1` and 9 other fields	High correlation
`rgb_r_main_col` is highly overall correlated with `article.1` and 7 other fields	High correlation
`rgb_r_sec_col` is highly overall correlated with `article.1` and 9 other fields	High correlation
`sizes` is highly overall correlated with `article.1` and 6 other fields	High correlation
`style` is highly overall correlated with `article.1` and 6 other fields	High correlation
`promo1` is highly imbalanced (66.5%)	Imbalance
`promo2` is highly imbalanced (95.5%)	Imbalance
`sizes` is highly imbalanced (53.1%)	Imbalance
`article.1` is uniformly distributed	Uniform
`rgb_b_main_col` has 10000 (10.0%) zeros	Zeros

Reproduction

Analysis started	2025-05-08 09:30:14.090401
Analysis finished	2025-05-08 09:30:28.615095
Duration	14.52 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

country
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Germany	49400
Austria	35140
France	15460

Length

Max length	7
Median length	7
Mean length	6.8454
Min length	6

Characters and Unicode

Total characters	684540
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Germany
2nd row	Germany
3rd row	Germany
4th row	Germany
5th row	Germany

Common Values

Value	Count	Frequency (%)
Germany	49400	49.4%
Austria	35140	35.1%
France	15460	15.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
germany	49400	49.4%
austria	35140	35.1%
france	15460	15.5%

Most occurring characters

Value	Count	Frequency (%)
r	100000	14.6%
a	100000	14.6%
e	64860	9.5%
n	64860	9.5%
G	49400	7.2%
m	49400	7.2%
y	49400	7.2%
A	35140	5.1%
u	35140	5.1%
s	35140	5.1%
Other values (4)	101200	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	684540	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	100000	14.6%
a	100000	14.6%
e	64860	9.5%
n	64860	9.5%
G	49400	7.2%
m	49400	7.2%
y	49400	7.2%
A	35140	5.1%
u	35140	5.1%
s	35140	5.1%
Other values (4)	101200	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	684540	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	100000	14.6%
a	100000	14.6%
e	64860	9.5%
n	64860	9.5%
G	49400	7.2%
m	49400	7.2%
y	49400	7.2%
A	35140	5.1%
u	35140	5.1%
s	35140	5.1%
Other values (4)	101200	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	684540	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	100000	14.6%
a	100000	14.6%
e	64860	9.5%
n	64860	9.5%
G	49400	7.2%
m	49400	7.2%
y	49400	7.2%
A	35140	5.1%
u	35140	5.1%
s	35140	5.1%
Other values (4)	101200	14.8%

article
Text

Distinct	477
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	600000
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	YN8639
2nd row	YN8639
3rd row	YN8639
4th row	YN8639
5th row	YN8639

Value	Count	Frequency (%)
br3179	610	0.6%
mr4948	560	0.6%
xg6449	550	0.5%
aa7884	540	0.5%
op1184	520	0.5%
vs6613	510	0.5%
qs5396	510	0.5%
cb4942	510	0.5%
st3419	490	0.5%
ze9366	480	0.5%
Other values (467)	94720	94.7%

Most occurring characters

Value	Count	Frequency (%)
8	49480	8.2%
6	47430	7.9%
7	46260	7.7%
2	45710	7.6%
4	44500	7.4%
1	43690	7.3%
3	42760	7.1%
9	41580	6.9%
5	38590	6.4%
X	10380	1.7%
Other values (25)	189620	31.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
8	49480	8.2%
6	47430	7.9%
7	46260	7.7%
2	45710	7.6%
4	44500	7.4%
1	43690	7.3%
3	42760	7.1%
9	41580	6.9%
5	38590	6.4%
X	10380	1.7%
Other values (25)	189620	31.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
8	49480	8.2%
6	47430	7.9%
7	46260	7.7%
2	45710	7.6%
4	44500	7.4%
1	43690	7.3%
3	42760	7.1%
9	41580	6.9%
5	38590	6.4%
X	10380	1.7%
Other values (25)	189620	31.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
8	49480	8.2%
6	47430	7.9%
7	46260	7.7%
2	45710	7.6%
4	44500	7.4%
1	43690	7.3%
3	42760	7.1%
9	41580	6.9%
5	38590	6.4%
X	10380	1.7%
Other values (25)	189620	31.6%

sales
Real number (ℝ)

Distinct	476
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.7818

Minimum	1
Maximum	898
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	10
median	26
Q3	64
95-th percentile	216
Maximum	898
Range	897
Interquartile range (IQR)	54

Descriptive statistics

Standard deviation	87.934743
Coefficient of variation (CV)	1.5486431
Kurtosis	20.657374
Mean	56.7818
Median Absolute Deviation (MAD)	20
Skewness	3.8588957
Sum	5678180
Variance	7732.5191
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	3080	3.1%
1	3060	3.1%
3	2950	2.9%
4	2800	2.8%
5	2680	2.7%
6	2670	2.7%
8	2380	2.4%
7	2380	2.4%
9	2160	2.2%
11	2130	2.1%
Other values (466)	73710	73.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3060	3.1%
2	3080	3.1%
3	2950	2.9%
4	2800	2.8%
5	2680	2.7%
6	2670	2.7%
7	2380	2.4%
8	2380	2.4%
9	2160	2.2%
10	1940	1.9%

Value	Count	Frequency (%)
898	10	< 0.1%
883	10	< 0.1%
881	10	< 0.1%
852	10	< 0.1%
841	10	< 0.1%
827	10	< 0.1%
819	10	< 0.1%
818	20	< 0.1%
797	10	< 0.1%
796	10	< 0.1%

regular_price
Real number (ℝ)

HIGH CORRELATION

Distinct	123
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.3912

Minimum	3.95
Maximum	197.95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	3.95
5-th percentile	6.95
Q1	25.95
median	40.95
Q3	79.95
95-th percentile	120.95
Maximum	197.95
Range	194
Interquartile range (IQR)	54

Descriptive statistics

Standard deviation	35.272128
Coefficient of variation (CV)	0.67324527
Kurtosis	0.32235243
Mean	52.3912
Median Absolute Deviation (MAD)	20
Skewness	0.90371157
Sum	5239120
Variance	1244.123
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.95	3620	3.6%
29.95	3160	3.2%
30.95	3120	3.1%
23.95	3110	3.1%
62.95	2690	2.7%
25.95	2540	2.5%
44.95	2420	2.4%
20.95	2330	2.3%
3.95	2090	2.1%
83.95	1920	1.9%
Other values (113)	73000	73.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.95	2090	2.1%
4.95	570	0.6%
5.95	1270	1.3%
6.95	1330	1.3%
7.95	170	0.2%
8.95	680	0.7%
9.95	510	0.5%
10.95	800	0.8%
11.95	130	0.1%
12.95	190	0.2%

Value	Count	Frequency (%)
197.95	120	0.1%
195.95	160	0.2%
153.95	850	0.9%
150.95	150	0.1%
141.95	90	0.1%
139.95	240	0.2%
136.95	200	0.2%
135.95	270	0.3%
134.95	150	0.1%
132.95	490	0.5%

current_price
Real number (ℝ)

HIGH CORRELATION

Distinct	141
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.2908

Minimum	1.95
Maximum	195.95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1.95
5-th percentile	3.95
Q1	11.95
median	20.95
Q3	37.95
95-th percentile	74.95
Maximum	195.95
Range	194
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	22.578343
Coefficient of variation (CV)	0.79808074
Kurtosis	2.9168272
Mean	28.2908
Median Absolute Deviation (MAD)	11
Skewness	1.5474818
Sum	2829080
Variance	509.78155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.95	3660	3.7%
9.95	3360	3.4%
11.95	3230	3.2%
13.95	3130	3.1%
17.95	2930	2.9%
12.95	2920	2.9%
16.95	2890	2.9%
15.95	2720	2.7%
7.95	2670	2.7%
14.95	2520	2.5%
Other values (131)	69970	70.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.95	1730	1.7%
2.95	1990	2.0%
3.95	1420	1.4%
4.95	1650	1.7%
5.95	1960	2.0%
6.95	2160	2.2%
7.95	2670	2.7%
8.95	3660	3.7%
9.95	3360	3.4%
10.95	2400	2.4%

Value	Count	Frequency (%)
195.95	10	< 0.1%
178.95	10	< 0.1%
154.95	10	< 0.1%
152.95	20	< 0.1%
145.95	20	< 0.1%
144.95	10	< 0.1%
141.95	10	< 0.1%
140.95	10	< 0.1%
136.95	10	< 0.1%
135.95	10	< 0.1%

ratio
Real number (ℝ)

Distinct	2722
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.54564586

Minimum	0.29648241
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0.29648241
5-th percentile	0.30283224
Q1	0.35483871
median	0.52504358
Q3	0.69924812
95-th percentile	0.88868275
Maximum	1
Range	0.70351759
Interquartile range (IQR)	0.34440941

Descriptive statistics

Standard deviation	0.19436278
Coefficient of variation (CV)	0.35620682
Kurtosis	-0.9113374
Mean	0.54564586
Median Absolute Deviation (MAD)	0.17124714
Skewness	0.39778993
Sum	54564.586
Variance	0.03777689
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1490	1.5%
0.4936708861	1140	1.1%
0.3103448276	830	0.8%
0.332096475	820	0.8%
0.3214862682	760	0.8%
0.2988313856	730	0.7%
0.746835443	720	0.7%
0.3319415449	690	0.7%
0.3317422434	570	0.6%
0.3548387097	510	0.5%
Other values (2712)	91740	91.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2964824121	120	0.1%
0.298245614	230	0.2%
0.2988313856	730	0.7%
0.2991239049	140	0.1%
0.2992992993	160	0.2%
0.2994161802	40	< 0.1%
0.2994996426	310	0.3%
0.2995622264	50	0.1%
0.2996108949	60	0.1%
0.2996498249	70	0.1%

Value	Count	Frequency (%)
1	1490	1.5%
0.9920603414	10	< 0.1%
0.9917321207	10	< 0.1%
0.9915218313	10	< 0.1%
0.9904716532	10	< 0.1%
0.9899949975	10	< 0.1%
0.9890049478	10	< 0.1%
0.9880881477	10	< 0.1%
0.9857040743	20	< 0.1%
0.9841206828	10	< 0.1%

retailweek
Date

Distinct	123
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

Minimum	2014-12-28 00:00:00
Maximum	2017-04-30 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

promo1
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	93810
1	6190

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	93810	93.8%
1	6190	6.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	93810	93.8%
1	6190	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	93810	93.8%
1	6190	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	93810	93.8%
1	6190	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	93810	93.8%
1	6190	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	93810	93.8%
1	6190	6.2%

promo2
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	99510
1	490

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	99510	99.5%
1	490	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	99510	99.5%
1	490	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	99510	99.5%
1	490	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	99510	99.5%
1	490	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	99510	99.5%
1	490	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	99510	99.5%
1	490	0.5%

customer_id
Real number (ℝ)

HIGH CORRELATION

Distinct	4549
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2721.7265

Minimum	1
Maximum	5999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1
5-th percentile	203
Q1	1017
median	2091
Q3	4570.25
95-th percentile	5721.05
Maximum	5999
Range	5998
Interquartile range (IQR)	3553.25

Descriptive statistics

Standard deviation	1908.0855
Coefficient of variation (CV)	0.70105703
Kurtosis	-1.4331178
Mean	2721.7265
Median Absolute Deviation (MAD)	1592
Skewness	0.24385097
Sum	2.7217265 × 10⁸
Variance	3640790.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1692	80	0.1%
1264	80	0.1%
1111	80	0.1%
1240	70	0.1%
22	70	0.1%
1726	70	0.1%
1586	70	0.1%
2328	70	0.1%
5890	70	0.1%
282	70	0.1%
Other values (4539)	99270	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10	< 0.1%
2	10	< 0.1%
3	40	< 0.1%
4	30	< 0.1%
5	30	< 0.1%
7	10	< 0.1%
8	20	< 0.1%
9	10	< 0.1%
10	10	< 0.1%
11	30	< 0.1%

Value	Count	Frequency (%)
5999	20	< 0.1%
5998	10	< 0.1%
5997	10	< 0.1%
5996	20	< 0.1%
5995	40	< 0.1%
5994	30	< 0.1%
5992	30	< 0.1%
5991	20	< 0.1%
5990	10	< 0.1%
5989	20	< 0.1%

article.1
Categorical

HIGH CORRELATION UNIFORM

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

OC6355	10000
AP5568	10000
CB8861	10000
LI3529	10000
GG8661	10000
Other values (5)	50000

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	600000
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OC6355
2nd row	AP5568
3rd row	CB8861
4th row	LI3529
5th row	GG8661

Common Values

Value	Count	Frequency (%)
OC6355	10000	10.0%
AP5568	10000	10.0%
CB8861	10000	10.0%
LI3529	10000	10.0%
GG8661	10000	10.0%
TX1463	10000	10.0%
PC6383	10000	10.0%
VT7698	10000	10.0%
FG2965	10000	10.0%
AC7347	10000	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
oc6355	10000	10.0%
ap5568	10000	10.0%
cb8861	10000	10.0%
li3529	10000	10.0%
gg8661	10000	10.0%
tx1463	10000	10.0%
pc6383	10000	10.0%
vt7698	10000	10.0%
fg2965	10000	10.0%
ac7347	10000	10.0%

Most occurring characters

Value	Count	Frequency (%)
6	90000	15.0%
3	60000	10.0%
5	60000	10.0%
8	60000	10.0%
C	40000	6.7%
7	30000	5.0%
1	30000	5.0%
9	30000	5.0%
G	30000	5.0%
4	20000	3.3%
Other values (11)	150000	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
6	90000	15.0%
3	60000	10.0%
5	60000	10.0%
8	60000	10.0%
C	40000	6.7%
7	30000	5.0%
1	30000	5.0%
9	30000	5.0%
G	30000	5.0%
4	20000	3.3%
Other values (11)	150000	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
6	90000	15.0%
3	60000	10.0%
5	60000	10.0%
8	60000	10.0%
C	40000	6.7%
7	30000	5.0%
1	30000	5.0%
9	30000	5.0%
G	30000	5.0%
4	20000	3.3%
Other values (11)	150000	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	600000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
6	90000	15.0%
3	60000	10.0%
5	60000	10.0%
8	60000	10.0%
C	40000	6.7%
7	30000	5.0%
1	30000	5.0%
9	30000	5.0%
G	30000	5.0%
4	20000	3.3%
Other values (11)	150000	25.0%

productgroup
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

SHOES	60000
HARDWARE ACCESSORIES	20000
SHORTS	10000
SWEATSHIRTS	10000

Length

Max length	20
Median length	5
Mean length	8.7
Min length	5

Characters and Unicode

Total characters	870000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SHOES
2nd row	SHORTS
3rd row	HARDWARE ACCESSORIES
4th row	SHOES
5th row	SHOES

Common Values

Value	Count	Frequency (%)
SHOES	60000	60.0%
HARDWARE ACCESSORIES	20000	20.0%
SHORTS	10000	10.0%
SWEATSHIRTS	10000	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
shoes	60000	50.0%
hardware	20000	16.7%
accessories	20000	16.7%
shorts	10000	8.3%
sweatshirts	10000	8.3%

Most occurring characters

Value	Count	Frequency (%)
S	230000	26.4%
E	130000	14.9%
H	100000	11.5%
O	90000	10.3%
R	80000	9.2%
A	70000	8.0%
C	40000	4.6%
W	30000	3.4%
I	30000	3.4%
T	30000	3.4%
Other values (2)	40000	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	870000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	230000	26.4%
E	130000	14.9%
H	100000	11.5%
O	90000	10.3%
R	80000	9.2%
A	70000	8.0%
C	40000	4.6%
W	30000	3.4%
I	30000	3.4%
T	30000	3.4%
Other values (2)	40000	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	870000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	230000	26.4%
E	130000	14.9%
H	100000	11.5%
O	90000	10.3%
R	80000	9.2%
A	70000	8.0%
C	40000	4.6%
W	30000	3.4%
I	30000	3.4%
T	30000	3.4%
Other values (2)	40000	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	870000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	230000	26.4%
E	130000	14.9%
H	100000	11.5%
O	90000	10.3%
R	80000	9.2%
A	70000	8.0%
C	40000	4.6%
W	30000	3.4%
I	30000	3.4%
T	30000	3.4%
Other values (2)	40000	4.6%

category
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

TRAINING	30000
RUNNING	20000
FOOTBALL GENERIC	20000
GOLF	10000
RELAX CASUAL	10000

Length

Max length	16
Median length	10
Mean length	9.2
Min length	4

Characters and Unicode

Total characters	920000
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TRAINING
2nd row	TRAINING
3rd row	GOLF
4th row	RUNNING
5th row	RELAX CASUAL

Common Values

Value	Count	Frequency (%)
TRAINING	30000	30.0%
RUNNING	20000	20.0%
FOOTBALL GENERIC	20000	20.0%
GOLF	10000	10.0%
RELAX CASUAL	10000	10.0%
INDOOR	10000	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
training	30000	23.1%
running	20000	15.4%
football	20000	15.4%
generic	20000	15.4%
golf	10000	7.7%
relax	10000	7.7%
casual	10000	7.7%
indoor	10000	7.7%

Most occurring characters

Value	Count	Frequency (%)
N	150000	16.3%
I	110000	12.0%
R	90000	9.8%
A	80000	8.7%
G	80000	8.7%
O	70000	7.6%
L	70000	7.6%
E	50000	5.4%
T	50000	5.4%
F	30000	3.3%
Other values (7)	140000	15.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	920000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	150000	16.3%
I	110000	12.0%
R	90000	9.8%
A	80000	8.7%
G	80000	8.7%
O	70000	7.6%
L	70000	7.6%
E	50000	5.4%
T	50000	5.4%
F	30000	3.3%
Other values (7)	140000	15.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	920000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	150000	16.3%
I	110000	12.0%
R	90000	9.8%
A	80000	8.7%
G	80000	8.7%
O	70000	7.6%
L	70000	7.6%
E	50000	5.4%
T	50000	5.4%
F	30000	3.3%
Other values (7)	140000	15.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	920000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	150000	16.3%
I	110000	12.0%
R	90000	9.8%
A	80000	8.7%
G	80000	8.7%
O	70000	7.6%
L	70000	7.6%
E	50000	5.4%
T	50000	5.4%
F	30000	3.3%
Other values (7)	140000	15.2%

cost
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.517

Minimum	1.29
Maximum	13.29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	1.29
5-th percentile	1.29
Q1	2.29
median	6.95
Q3	9.6
95-th percentile	13.29
Maximum	13.29
Range	12
Interquartile range (IQR)	7.31

Descriptive statistics

Standard deviation	3.9147279
Coefficient of variation (CV)	0.60069478
Kurtosis	-1.2872918
Mean	6.517
Median Absolute Deviation (MAD)	2.85
Skewness	0.099353368
Sum	651700
Variance	15.325094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
13.29	10000	10.0%
2.29	10000	10.0%
1.7	10000	10.0%
9	10000	10.0%
9.6	10000	10.0%
4.2	10000	10.0%
9.9	10000	10.0%
5.2	10000	10.0%
1.29	10000	10.0%
8.7	10000	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.29	10000	10.0%
1.7	10000	10.0%
2.29	10000	10.0%
4.2	10000	10.0%
5.2	10000	10.0%
8.7	10000	10.0%
9	10000	10.0%
9.6	10000	10.0%
9.9	10000	10.0%
13.29	10000	10.0%

Value	Count	Frequency (%)
13.29	10000	10.0%
9.9	10000	10.0%
9.6	10000	10.0%
9	10000	10.0%
8.7	10000	10.0%
5.2	10000	10.0%
4.2	10000	10.0%
2.29	10000	10.0%
1.7	10000	10.0%
1.29	10000	10.0%

style
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

regular	50000
wide	30000
slim	20000

Length

Max length	7
Median length	5.5
Mean length	5.5
Min length	4

Characters and Unicode

Total characters	550000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	slim
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	50000	50.0%
wide	30000	30.0%
slim	20000	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
regular	50000	50.0%
wide	30000	30.0%
slim	20000	20.0%

Most occurring characters

Value	Count	Frequency (%)
r	100000	18.2%
e	80000	14.5%
l	70000	12.7%
g	50000	9.1%
u	50000	9.1%
a	50000	9.1%
i	50000	9.1%
w	30000	5.5%
d	30000	5.5%
s	20000	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	550000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	100000	18.2%
e	80000	14.5%
l	70000	12.7%
g	50000	9.1%
u	50000	9.1%
a	50000	9.1%
i	50000	9.1%
w	30000	5.5%
d	30000	5.5%
s	20000	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	550000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	100000	18.2%
e	80000	14.5%
l	70000	12.7%
g	50000	9.1%
u	50000	9.1%
a	50000	9.1%
i	50000	9.1%
w	30000	5.5%
d	30000	5.5%
s	20000	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	550000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	100000	18.2%
e	80000	14.5%
l	70000	12.7%
g	50000	9.1%
u	50000	9.1%
a	50000	9.1%
i	50000	9.1%
w	30000	5.5%
d	30000	5.5%
s	20000	3.6%

sizes
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

xxs,xs,s,m,l,xl,xxl	90000
xs,s,m,l,xl	10000

Length

Max length	19
Median length	19
Mean length	18.2
Min length	11

Characters and Unicode

Total characters	1820000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	xxs,xs,s,m,l,xl,xxl
2nd row	xxs,xs,s,m,l,xl,xxl
3rd row	xxs,xs,s,m,l,xl,xxl
4th row	xxs,xs,s,m,l,xl,xxl
5th row	xxs,xs,s,m,l,xl,xxl

Common Values

Value	Count	Frequency (%)
xxs,xs,s,m,l,xl,xxl	90000	90.0%
xs,s,m,l,xl	10000	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
xxs,xs,s,m,l,xl,xxl	90000	90.0%
xs,s,m,l,xl	10000	10.0%

Most occurring characters

Value	Count	Frequency (%)
,	580000	31.9%
x	560000	30.8%
s	290000	15.9%
l	290000	15.9%
m	100000	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1820000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
,	580000	31.9%
x	560000	30.8%
s	290000	15.9%
l	290000	15.9%
m	100000	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1820000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
,	580000	31.9%
x	560000	30.8%
s	290000	15.9%
l	290000	15.9%
m	100000	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1820000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
,	580000	31.9%
x	560000	30.8%
s	290000	15.9%
l	290000	15.9%
m	100000	5.5%

gender
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

women	70000
kids	10000
unisex	10000
men	10000

Length

Max length	6
Median length	5
Mean length	4.8
Min length	3

Characters and Unicode

Total characters	480000
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	women
2nd row	women
3rd row	women
4th row	kids
5th row	women

Common Values

Value	Count	Frequency (%)
women	70000	70.0%
kids	10000	10.0%
unisex	10000	10.0%
men	10000	10.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
women	70000	70.0%
kids	10000	10.0%
unisex	10000	10.0%
men	10000	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	90000	18.8%
n	90000	18.8%
m	80000	16.7%
w	70000	14.6%
o	70000	14.6%
i	20000	4.2%
s	20000	4.2%
k	10000	2.1%
d	10000	2.1%
u	10000	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	480000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	90000	18.8%
n	90000	18.8%
m	80000	16.7%
w	70000	14.6%
o	70000	14.6%
i	20000	4.2%
s	20000	4.2%
k	10000	2.1%
d	10000	2.1%
u	10000	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	480000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	90000	18.8%
n	90000	18.8%
m	80000	16.7%
w	70000	14.6%
o	70000	14.6%
i	20000	4.2%
s	20000	4.2%
k	10000	2.1%
d	10000	2.1%
u	10000	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	480000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	90000	18.8%
n	90000	18.8%
m	80000	16.7%
w	70000	14.6%
o	70000	14.6%
i	20000	4.2%
s	20000	4.2%
k	10000	2.1%
d	10000	2.1%
u	10000	2.1%

rgb_r_main_col
Real number (ℝ)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	161.4

Minimum	79
Maximum	205
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	79
5-th percentile	79
Q1	138
median	160
Q3	205
95-th percentile	205
Maximum	205
Range	126
Interquartile range (IQR)	67

Descriptive statistics

Standard deviation	39.790147
Coefficient of variation (CV)	0.24653127
Kurtosis	-0.65105527
Mean	161.4
Median Absolute Deviation (MAD)	26.5
Skewness	-0.53681348
Sum	16140000
Variance	1583.2558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
205	30000	30.0%
139	20000	20.0%
188	10000	10.0%
138	10000	10.0%
79	10000	10.0%
135	10000	10.0%
181	10000	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
79	10000	10.0%
135	10000	10.0%
138	10000	10.0%
139	20000	20.0%
181	10000	10.0%
188	10000	10.0%
205	30000	30.0%

Value	Count	Frequency (%)
205	30000	30.0%
188	10000	10.0%
181	10000	10.0%
139	20000	20.0%
138	10000	10.0%
135	10000	10.0%
79	10000	10.0%

rgb_g_main_col
Real number (ℝ)

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	139.6

Minimum	26
Maximum	238
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	26
5-th percentile	26
Q1	104
median	144
Q3	181
95-th percentile	238
Maximum	238
Range	212
Interquartile range (IQR)	77

Descriptive statistics

Standard deviation	63.641814
Coefficient of variation (CV)	0.45588692
Kurtosis	-0.72863911
Mean	139.6
Median Absolute Deviation (MAD)	38.5
Skewness	-0.41055271
Sum	13960000
Variance	4050.2805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
104	10000	10.0%
238	10000	10.0%
173	10000	10.0%
140	10000	10.0%
43	10000	10.0%
148	10000	10.0%
26	10000	10.0%
206	10000	10.0%
181	10000	10.0%
137	10000	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26	10000	10.0%
43	10000	10.0%
104	10000	10.0%
137	10000	10.0%
140	10000	10.0%
148	10000	10.0%
173	10000	10.0%
181	10000	10.0%
206	10000	10.0%
238	10000	10.0%

Value	Count	Frequency (%)
238	10000	10.0%
206	10000	10.0%
181	10000	10.0%
173	10000	10.0%
148	10000	10.0%
140	10000	10.0%
137	10000	10.0%
104	10000	10.0%
43	10000	10.0%
26	10000	10.0%

rgb_b_main_col
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	133.5

Minimum	0
Maximum	250
Zeros	10000
Zeros (%)	10.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	57
median	143
Q3	205
95-th percentile	250
Maximum	250
Range	250
Interquartile range (IQR)	148

Descriptive statistics

Standard deviation	81.148727
Coefficient of variation (CV)	0.60785563
Kurtosis	-1.2130238
Mean	133.5
Median Absolute Deviation (MAD)	72.5
Skewness	-0.23314943
Sum	13350000
Variance	6585.1159
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
57	10000	10.0%
104	10000	10.0%
0	10000	10.0%
149	10000	10.0%
226	10000	10.0%
205	10000	10.0%
26	10000	10.0%
250	10000	10.0%
181	10000	10.0%
137	10000	10.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10000	10.0%
26	10000	10.0%
57	10000	10.0%
104	10000	10.0%
137	10000	10.0%
149	10000	10.0%
181	10000	10.0%
205	10000	10.0%
226	10000	10.0%
250	10000	10.0%

Value	Count	Frequency (%)
250	10000	10.0%
226	10000	10.0%
205	10000	10.0%
181	10000	10.0%
149	10000	10.0%
137	10000	10.0%
104	10000	10.0%
57	10000	10.0%
26	10000	10.0%
0	10000	10.0%

rgb_r_sec_col
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

205	40000
255	30000
164	30000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	300000
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	255
2nd row	255
3rd row	255
4th row	164
5th row	164

Common Values

Value	Count	Frequency (%)
205	40000	40.0%
255	30000	30.0%
164	30000	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
205	40000	40.0%
255	30000	30.0%
164	30000	30.0%

Most occurring characters

Value	Count	Frequency (%)
5	100000	33.3%
2	70000	23.3%
0	40000	13.3%
1	30000	10.0%
6	30000	10.0%
4	30000	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	100000	33.3%
2	70000	23.3%
0	40000	13.3%
1	30000	10.0%
6	30000	10.0%
4	30000	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	100000	33.3%
2	70000	23.3%
0	40000	13.3%
1	30000	10.0%
6	30000	10.0%
4	30000	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	100000	33.3%
2	70000	23.3%
0	40000	13.3%
1	30000	10.0%
6	30000	10.0%
4	30000	10.0%

rgb_g_sec_col
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

155	40000
187	30000
211	30000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	300000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	187
2nd row	187
3rd row	187
4th row	211
5th row	211

Common Values

Value	Count	Frequency (%)
155	40000	40.0%
187	30000	30.0%
211	30000	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
155	40000	40.0%
187	30000	30.0%
211	30000	30.0%

Most occurring characters

Value	Count	Frequency (%)
1	130000	43.3%
5	80000	26.7%
8	30000	10.0%
7	30000	10.0%
2	30000	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	130000	43.3%
5	80000	26.7%
8	30000	10.0%
7	30000	10.0%
2	30000	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	130000	43.3%
5	80000	26.7%
8	30000	10.0%
7	30000	10.0%
2	30000	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	130000	43.3%
5	80000	26.7%
8	30000	10.0%
7	30000	10.0%
2	30000	10.0%

rgb_b_sec_col
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

155	40000
255	30000
238	30000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	300000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	255
2nd row	255
3rd row	255
4th row	238
5th row	238

Common Values

Value	Count	Frequency (%)
155	40000	40.0%
255	30000	30.0%
238	30000	30.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
155	40000	40.0%
255	30000	30.0%
238	30000	30.0%

Most occurring characters

Value	Count	Frequency (%)
5	140000	46.7%
2	60000	20.0%
1	40000	13.3%
3	30000	10.0%
8	30000	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	140000	46.7%
2	60000	20.0%
1	40000	13.3%
3	30000	10.0%
8	30000	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	140000	46.7%
2	60000	20.0%
1	40000	13.3%
3	30000	10.0%
8	30000	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	140000	46.7%
2	60000	20.0%
1	40000	13.3%
3	30000	10.0%
8	30000	10.0%

label
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.4 KiB

0	86072
1	13928

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	100000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	86072	86.1%
1	13928	13.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	86072	86.1%
1	13928	13.9%

Most occurring characters

Value	Count	Frequency (%)
0	86072	86.1%
1	13928	13.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	86072	86.1%
1	13928	13.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	86072	86.1%
1	13928	13.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	86072	86.1%
1	13928	13.9%

Auto

Heatmap
Table

	article.1	category	cost	country	current_price	customer_id	gender	label	productgroup	promo1	promo2	ratio	regular_price	rgb_b_main_col	rgb_b_sec_col	rgb_g_main_col	rgb_g_sec_col	rgb_r_main_col	rgb_r_sec_col	sales	sizes	style
article.1	1.000	1.000	1.000	0.000	0.000	0.000	1.000	0.003	1.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	1.000	1.000	0.000	1.000	1.000
category	1.000	1.000	0.699	0.000	0.000	0.000	0.690	0.005	0.638	0.000	0.000	0.000	0.000	0.837	0.795	0.820	0.795	0.674	0.795	0.000	0.667	0.589
cost	1.000	0.699	1.000	0.000	0.000	0.000	0.724	0.000	0.816	0.000	0.000	0.000	0.000	-0.091	0.782	-0.818	0.782	0.012	0.782	0.000	1.000	0.876
country	0.000	0.000	0.000	1.000	0.076	0.918	0.000	0.010	0.000	0.008	0.164	0.043	0.175	0.000	0.000	0.000	0.000	0.000	0.000	0.026	0.000	0.000
current_price	0.000	0.000	0.000	0.076	1.000	0.000	0.000	0.181	0.000	0.069	0.029	0.372	0.885	0.000	0.000	0.000	0.000	0.000	0.000	-0.178	0.000	0.000
customer_id	0.000	0.000	0.000	0.918	0.000	1.000	0.000	0.016	0.000	0.018	0.144	0.009	-0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000
gender	1.000	0.690	0.724	0.000	0.000	0.000	1.000	0.000	0.309	0.000	0.000	0.000	0.000	0.816	0.546	0.577	0.546	0.445	0.546	0.000	1.000	0.483
label	0.003	0.005	0.000	0.010	0.181	0.016	0.000	1.000	0.000	0.064	0.020	0.462	0.022	0.000	0.000	0.005	0.000	0.000	0.000	0.099	0.000	0.000
productgroup	1.000	0.638	0.816	0.000	0.000	0.000	0.309	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.553	0.861	0.553	0.776	0.553	0.000	0.272	0.494
promo1	0.000	0.000	0.000	0.008	0.069	0.018	0.000	0.064	0.000	1.000	0.047	0.162	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.126	0.000	0.000
promo2	0.000	0.000	0.000	0.164	0.029	0.144	0.000	0.020	0.000	0.047	1.000	0.044	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.000	0.000
ratio	0.000	0.000	0.000	0.043	0.372	0.009	0.000	0.462	0.000	0.162	0.044	1.000	-0.071	0.000	0.000	0.000	0.000	0.000	0.000	-0.435	0.000	0.000
regular_price	0.000	0.000	0.000	0.175	0.885	-0.000	0.000	0.022	0.000	0.016	0.028	-0.071	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.000	0.000
rgb_b_main_col	1.000	0.837	-0.091	0.000	0.000	0.000	0.816	0.000	1.000	0.000	0.000	0.000	0.000	1.000	0.842	0.212	0.842	-0.689	0.842	0.000	1.000	0.931
rgb_b_sec_col	1.000	0.795	0.782	0.000	0.000	0.000	0.546	0.000	0.553	0.000	0.000	0.000	0.000	0.842	1.000	0.812	1.000	0.643	1.000	0.000	0.408	0.400
rgb_g_main_col	1.000	0.820	-0.818	0.000	0.000	0.000	0.577	0.005	0.861	0.000	0.000	0.000	0.000	0.212	0.812	1.000	0.812	0.037	0.812	0.000	0.667	0.830
rgb_g_sec_col	1.000	0.795	0.782	0.000	0.000	0.000	0.546	0.000	0.553	0.000	0.000	0.000	0.000	0.842	1.000	0.812	1.000	0.643	1.000	0.000	0.408	0.400
rgb_r_main_col	1.000	0.674	0.012	0.000	0.000	0.000	0.445	0.000	0.776	0.000	0.000	0.000	0.000	-0.689	0.643	0.037	0.643	1.000	0.643	0.000	0.408	0.570
rgb_r_sec_col	1.000	0.795	0.782	0.000	0.000	0.000	0.546	0.000	0.553	0.000	0.000	0.000	0.000	0.842	1.000	0.812	1.000	0.643	1.000	0.000	0.408	0.400
sales	0.000	0.000	0.000	0.026	-0.178	0.004	0.000	0.099	0.000	0.126	0.016	-0.435	0.011	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000
sizes	1.000	0.667	1.000	0.000	0.000	0.000	1.000	0.000	0.272	0.000	0.000	0.000	0.000	1.000	0.408	0.667	0.408	0.408	0.408	0.000	1.000	0.509
style	1.000	0.589	0.876	0.000	0.000	0.000	0.483	0.000	0.494	0.000	0.000	0.000	0.000	0.931	0.400	0.830	0.400	0.570	0.400	0.000	0.509	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	country	article	sales	regular_price	current_price	ratio	retailweek	customer_id	article.1	productgroup	category	cost	style	sizes	gender	rgb_r_main_col	rgb_g_main_col	rgb_b_main_col	rgb_r_sec_col	rgb_g_sec_col	rgb_b_sec_col	label
0	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	OC6355	SHOES	TRAINING	13.29	slim	xxs,xs,s,m,l,xl,xxl	women	205	104	57	255	187	255	0
1	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	AP5568	SHORTS	TRAINING	2.29	regular	xxs,xs,s,m,l,xl,xxl	women	188	238	104	255	187	255	0
2	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	CB8861	HARDWARE ACCESSORIES	GOLF	1.70	regular	xxs,xs,s,m,l,xl,xxl	women	205	173	0	255	187	255	0
3	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	LI3529	SHOES	RUNNING	9.00	regular	xxs,xs,s,m,l,xl,xxl	kids	205	140	149	164	211	238	0
4	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	GG8661	SHOES	RELAX CASUAL	9.60	regular	xxs,xs,s,m,l,xl,xxl	women	138	43	226	164	211	238	0
5	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	TX1463	SWEATSHIRTS	TRAINING	4.20	wide	xxs,xs,s,m,l,xl,xxl	women	79	148	205	164	211	238	1
6	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	PC6383	SHOES	FOOTBALL GENERIC	9.90	wide	xs,s,m,l,xl	unisex	139	26	26	205	155	155	0
7	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	VT7698	SHOES	INDOOR	5.20	wide	xxs,xs,s,m,l,xl,xxl	women	135	206	250	205	155	155	1
8	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	FG2965	HARDWARE ACCESSORIES	RUNNING	1.29	slim	xxs,xs,s,m,l,xl,xxl	women	181	181	181	205	155	155	0
9	Germany	YN8639	28	5.95	3.95	0.663866	2016-03-27	1003.0	AC7347	SHOES	FOOTBALL GENERIC	8.70	regular	xxs,xs,s,m,l,xl,xxl	men	139	137	137	205	155	155	1

	country	article	sales	regular_price	current_price	ratio	retailweek	customer_id	article.1	productgroup	category	cost	style	sizes	gender	rgb_r_main_col	rgb_g_main_col	rgb_b_main_col	rgb_r_sec_col	rgb_g_sec_col	rgb_b_sec_col
99990	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	OC6355	SHOES	TRAINING	13.29	slim	xxs,xs,s,m,l,xl,xxl	women	205	104	57	255	187	255
99991	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	AP5568	SHORTS	TRAINING	2.29	regular	xxs,xs,s,m,l,xl,xxl	women	188	238	104	255	187	255
99992	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	CB8861	HARDWARE ACCESSORIES	GOLF	1.70	regular	xxs,xs,s,m,l,xl,xxl	women	205	173	0	255	187	255
99993	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	LI3529	SHOES	RUNNING	9.00	regular	xxs,xs,s,m,l,xl,xxl	kids	205	140	149	164	211	238
99994	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	GG8661	SHOES	RELAX CASUAL	9.60	regular	xxs,xs,s,m,l,xl,xxl	women	138	43	226	164	211	238
99995	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	TX1463	SWEATSHIRTS	TRAINING	4.20	wide	xxs,xs,s,m,l,xl,xxl	women	79	148	205	164	211	238
99996	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	PC6383	SHOES	FOOTBALL GENERIC	9.90	wide	xs,s,m,l,xl	unisex	139	26	26	205	155	155
99997	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	VT7698	SHOES	INDOOR	5.20	wide	xxs,xs,s,m,l,xl,xxl	women	135	206	250	205	155	155
99998	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	FG2965	HARDWARE ACCESSORIES	RUNNING	1.29	slim	xxs,xs,s,m,l,xl,xxl	women	181	181	181	205	155	155
99999	Germany	PW6278	227	57.95	26.95	0.465056	2016-06-26	1489.0	AC7347	SHOES	FOOTBALL GENERIC	8.70	regular	xxs,xs,s,m,l,xl,xxl	men	139	137	137	205	155	155

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)